顺北地区碳酸盐岩断控缝洞体油气产能定量化估算技术

doi:10.11720/wtyht.2023.2579

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Abstract

The strike-slip fault system and the fractures and vugs in fault-controlled reservoirs have become new Ordovician exploration targets in the Shunbei area.This study explored a multi-attribute quantitative prediction technique for the single-well production of fault-controlled reservoirs,aiming to provide a scientific basis and technical support for well deployment and well trajectory optimization in the fault zones of the Shunbei area.Faults serve as pathways for hydrocarbon migration in fault-controlled reservoirs.Their connectivity to provenance areas can be characterized by their longitudinal extension and the width of the fault zone,and their convergence can be characterized by their lateral extension and the planar intersection structure between major and secondary faults.Both characteristics of faults were used to indicate the fault characteristics in the oil source conditions for oil accumulation.The space for hydrocarbon accumulation in fault-controlled reservoirs is dominated by dissolution fractures and vugs,such as caves.The fracture-vug characteristics,which represent the space for hydrocarbon accumulation and its connectivity,were characterized by the scale of fault-controlled reservoirs,the volume of the fractures and vugs,and the density of fractures in faults.The single-well production of fault-controlled reservoirs is related to both the fault characteristics and the fracture-vug characteristics.Therefore,the quantification of fault characteristics and the fracture-vug characteristics is the basis for the quantitative prediction of single-well production.The fault characteristic values were determined through the fine-scale interpretation of faults based on seismic data and their multiple attributes.Moreover,the range of fault-controlled reservoirs was delineated based on structure tensors;the distribution and volume of caves,fractures,and vugs were characterized using the amplitude of anomalous bodies;and the density of fractures in faults can be characterized using the maximum likelihood probability.Then,the three attributes were fused to determine the fracture-vug characteristic values.Finally,the quantified fault characteristic values and fractured-vug characteristic values were fused into the characteristic value of fault-controlled reservoirs.Through the statistical analysis of the characteristic value and annual liquid production of drilled wells,the statistical relationship between the annual fluid production and the characteristic value of fault-controlled reservoirs was determined,thus achieving the quantitative prediction of the single-well production of fault-controlled reservoirs.

Key words： fault-controlled reservoirs fault characteristic fracture-vug characteristic characteristic of a fault-controlled reservoirs quantitative prediction of single-well production anomalous body decomposition structure tensor maximum likelihood probability

Received: 22 February 2022 Published: 05 July 2023

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	Articles by authors
	Jun LIU
	Chao HUANG
	Lin YANG
	Yong-Sheng ZHANG
	Ming ZHA

Cite this article:

Jun LIU,Chao HUANG,Lin YANG, et al. Quantitative prediction technology for the hydrocarbon production capacity of fractures and vugs in fault-controlled carbonate reservoirs in the Shunbei area[J]. Geophysical and Geochemical Exploration, 2023, 47(3): 747-756.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2023.2579 OR https://www.wutanyuhuatan.com/EN/Y2023/V47/I3/747

Seismic response characteristics of different fault types
a—compressional fault;b—pull-apart fault;c—translation fault

Structural characteristics plane of intersecting fracture

The migration and its three attributes section
a—migration;b—abnormal body amplitude attribute;c—structural gradient tensor attribute;d—maximum likelihood probability attribute

T 7 6-

T 7 8

abnormal body amplitude attribute;b—

T 7 6

T 7 8

structural gradient tensor attribute;c—

T 7 6

T 7 8

maximum likelihood probability attribute
">

Plans of attributes of abnormal body amplitude,structural gradient tensor and maximum likelihood probability at different horizons
a—

T 7 6

T 7 8

abnormal body amplitude attribute;b—

T 7 6

T 7 8

structural gradient tensor attribute;c—

T 7 6

T 7 8

maximum likelihood probability attribute

Sections of migration(a),abnormal body amplitude attribute(b),structural gradient tensor attribute(c),maximum likelihood probability attribute(d) across a high productivity well

High-productivity wells at the intersection of main and branch faults

断裂特征	断裂通源性 $A 1$		断裂汇聚性 $A 2$
断裂特征	延伸至 $T 9 0$ 以下(I)	延伸在 $T 9 0$ 以上(II)	主干+分支交汇部位(I)	仅有主干断裂(II)
量化值	0.5	0	0.5	0

Quantitative classification of nature to communicate oil sources and nature to convergence more oil sources

Forward modeling of the correlation between the amplitude of beads and the height and width of caves
a—the cave forward modeling migration profile with a width of 60 m and a height of 0~40 m;b—the cave forward modeling migration profile with height of 6 m and width of 10~300 m;c—the amplitude variation curve of the beads with a width of 60 m and a height of 0~40 m;d—the amplitude variation curve of the beads with a height of 6 m and a width of 10~300 m

井名	单井年产液量/ t	断裂特征值			缝洞特征值	断控缝洞体特征值
井名	SWOC	A₁	A₂	A	B	$E F K = (1 + A) × B$
S1	77000	0.5	0.5	1	3484.184	6968.368
S2	54000	0.5	0.5	1	3546.903	7093.806
S3	42000			0	7605.866	7605.866
S4	27000	0.5	0	0.5	4052.342	6078.515
S5	25000			0	1985.622	1985.622
S6	24000			0	2696.085	2696.085
S7	24000			0	1354.254	1354.254
S8	22000			0	2408.270	2408.27
S9	21000			0	2810.141	2810.141
S10	21000			0	2207.304	2207.304
S11	19000			0	521.6	521.6
S12	18000			0	3565.860	3565.860
S13	12000			0	3936.628	3936.628
S14	7000			0	1609.080	1609.080
S15	5000			0	1503.801	1503.801
S16	1000			0	1406.6	1406.6

Annual fluid production SWOC and fault-controlled reservoirs features value E_FK of 16 sample wells were calculated

Variation trend curve of single well annual fluid yield and fault-controlled reservoirs features value

The fitting relation curve between the annual liquid production of a single well and the fault-controlled reservoirs features value

Plan of predicted annual liquid production in Shunbei 1 area

Coincident rate of predicted annual liquid production in Shunbei 1 area

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